Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Sep 15;24(18):2105-7.
doi: 10.1093/bioinformatics/btn359. Epub 2008 Jul 23.

hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework

Affiliations

hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework

Ryan Abo et al. Bioinformatics. .

Abstract

Summary: Haplotypes carry important information that can direct investigators towards underlying susceptibility variants, and hence multiple tagging single nucleotide polymorphisms (tSNPs) are usually studied in candidate gene association studies. However, it is often unknown which SNPs should be included in haplotype analyses, or which tests should be performed for maximum power. We have developed a program, hapConstructor, which automatically builds multi-locus SNP sets to test for association in a case-control framework. The multi-SNP sets considered need not be contiguous; they are built based on significance. An important feature is that the missing data imputation is carried out based on the full data, for maximal information and consistency. HapConstructor is implemented in a Monte Carlo framework and naturally extends to allow for significance testing and false discovery rates that account for the construction process and to related individuals. HapConstructor is a useful tool for exploring multi-locus associations in candidate genes and regions.

Availability: http://www-genepi.med.utah.edu/Genie.

PubMed Disclaimer

References

    1. Allen-Brady K, et al. PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size. BMC Bioinformatics. 2006;7:209. - PMC - PubMed
    1. Bardel C, et al. Clustering of haplotypes based on phylogeny: how good a strategy for association testing? Eur. J. Hum. Genet. 2006;14:202–206. - PubMed
    1. Becker T, Knapp M. A powerful strategy to account for multiple testing in the context of haplotype analysis. Am. J. Hum. Genet. 2004;75:561–570. - PMC - PubMed
    1. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. B. Met. 1995;57:289–300.
    1. Browning BL, Browning SR. Efficient multilocus association testing for whole genome association studies using localized haplotype clustering. Genet. Epidemiol. 2007;31:365–375. - PubMed

Publication types